2011
DOI: 10.2135/cropsci2010.04.0216
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Management‐Intensive Rotational Grazing Enhances Forage Production and Quality of Subhumid Cool‐Season Pastures

Abstract: Management‐intensive rotational grazing is used by many farmers seeking to balance profitability, environmental stewardship, and quality of life. Productivity of pastures in much of the upper Midwest is limited to April through October, so promoting high quality forage production during the grazing season and for winter storage is critical to dairy and beef farm profitability. We conducted an experiment on pastures dominated by Kentucky bluegrass (Poa pratensis L.), orchardgrass (Dactylis glomerata L.), meadow… Show more

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Cited by 59 publications
(32 citation statements)
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“…Although this scenario also decreased GHG emissions by 1.3% as a result of reduced enteric CH 4 emissions related to increased pasture digestibility, the environmental benefits were at the expense of a 3.2% increase in water use. The benefits of improved forage yield and land use efficiency under management intensive grazing practices have been well documented (Gammon, 1978;Oates et al, 2011;Parker et al, 1992). Pasture yields typically increase with irrigation (Waldron et al, 2002) or fertilization (Monaghan et al, 2005).…”
Section: Land Usementioning
confidence: 99%
“…Although this scenario also decreased GHG emissions by 1.3% as a result of reduced enteric CH 4 emissions related to increased pasture digestibility, the environmental benefits were at the expense of a 3.2% increase in water use. The benefits of improved forage yield and land use efficiency under management intensive grazing practices have been well documented (Gammon, 1978;Oates et al, 2011;Parker et al, 1992). Pasture yields typically increase with irrigation (Waldron et al, 2002) or fertilization (Monaghan et al, 2005).…”
Section: Land Usementioning
confidence: 99%
“…Forage mass and nutritive value data were analyzed for forage type, year, and their interaction. For botanical composition, absolute cover was calculated by dividing species intercepts by total intercepts (Oates, Undersander, Gratton, Bell, & Jackson, 2011). The cover estimates were categorized into the different components: main species (alyceclover or pearl millet), bare soil, and weeds.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…P(t) is a second state variable corresponding to the production of the system. The model was calibrated to reflect the behavior of a cool-season grassland of southcentral Wisconsin, USA, based on datasets from Brink et al (2013) and Oates et al (2011). For full details on model calibration, see Sabatier et al (2015).…”
Section: Model Descriptionmentioning
confidence: 99%